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An improved image enhancement algorithm

  • Computer Science
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

To solve the problems of noise, detail loss and poor contrast in the successive mean quantization transform (SMQT), a new SMQT algorithm based on Otsu algorithm is proposed. In this algorithm, we integrate the optimal threshold selected by the Otsu algorithm into the SMQT algorithm, then obtain the successive mean quantization of the binary tree. By this algorithm, an enhanced image is output with a higher quality. From both subjective visual effect and objective quality evaluation, the experimental results show that the improved algorithm reduces noise, improves contrast and makes the image details more clear.

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Author information

Authors and Affiliations

  1. Hubei Key Laboratory of Transportation Internet of Things, Wuhan 430070, Hubei, China

    Jing Ma & Chengming Zou

  2. Department of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, Hubei, China

    Jing Ma & Chengming Zou

  3. Jiangxi Lanxiang Heavy Industries Company, Pingxiang 337000, Jiangxi, China

    Chengming Zou

  4. Wuhan Road and Bridge Toll Management Center, Wuhan 430050, Hubei, China

    Xiaolong Jin

Authors
  1. Jing Ma
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  2. Chengming Zou
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  3. Xiaolong Jin
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Corresponding author

Correspondence to Jing Ma.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (61503289) and Hubei Province Science and Technology Support Program (2015BAA120, 2015BCE068)

Biography: MA Jing, female, Master candidate, research direction: computer vision, mobile Internet.

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Cite this article

Ma, J., Zou, C. & Jin, X. An improved image enhancement algorithm. Wuhan Univ. J. Nat. Sci. 22, 85–92 (2017). https://doi.org/10.1007/s11859-017-1221-x

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  • DOI: https://doi.org/10.1007/s11859-017-1221-x

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